Case Study: a top audit company in the US improves audit turnaround with KANINI’s AI-powered document intelligence

a top audit company in the US reduces manual audit work with KANINI

A top audit company in the US faced challenges with manual, time-consuming, and error-prone processes for extracting information from large volumes of financial documents like 10-K reports. This was delaying their audit deliveries and hindering business growth. They partnered with KANINI to implement an AI-powered financial document intelligence solution to automate these processes.

KANINI built a solution that used OCR and NLP to ingest, classify, and extract data from financial documents. It featured an interactive Q&A model for auditors to get prompt, accurate answers and a feedback loop to improve results. The implementation reduced manual efforts, assured high-quality recommendations for informed decision-making, and enhanced data privacy through automated PII anonymization, leading to audit excellence and an improved market reputation for the customer.